code: def test_forward(self, dtype, device):
      model = OnnxLightGlue(device=device)
  
      kpts = torch.zeros(1, 5, 2, dtype=dtype, device=device)
      desc = torch.zeros(1, 5, 128, dtype=dtype, device=device)
      image = torch.zeros(1, 3, 10, 10, dtype=dtype)
      outputs = model(
          {
              "image0": {
                  "keypoints": kpts,
                  "descriptors": desc,
                  "image": image,
              },
              "image1": {
                  "keypoints": kpts,
                  "descriptors": desc,
                  "image": image,
              },
          }
      )
  
      assert "matches" in outputs
      assert "scores" in outputs
  
file_path: kornia/test/feature/test_lightglue_onnx.py
imports: import pytest
  import torch
  from kornia.feature import OnnxLightGlue
  from kornia.feature.lightglue_onnx.utils import normalize_keypoints
label_desc: Use image node_id 3 for calling the TestOnnxLightGlue obj's underlying member method code with example usage: obj.test_forward(dtype, device) without return types